The experiment in Section REF  clearly shows the benefit of initializing the network parameters by (REF ) and (), respectively. As seen from Fig. REF , the optimization process is able to offer around 8-9 dB improvement in performance over the SToRM initialization. We note that the proposed framework of recovering the bilinear representation from 10 spokes/frame is significantly more challenging than the traditional DIP strategy in [1]}. A reasonable initialization of the network can offer improved performance compared to random initialization. Fig. REF  also shows the need for early stopping of the unregularized setting in (REF ). In particular, the performance of the algorithm decays with increasing iterations, indicating overfitting to the noise in the k-space measurements.
